Angielski
Cognitive Big Data Intelligence with Meta-Heuristic Approach presents an exact and compact organization of contents related to the latest meta-heuristics methodologies based on new challenging big data application domains and cognitive computing with proper explanation wherever required. The combined model of cognitive big data intelligence with meta-heuristics methods can be used to analyze emerging patterns, spot business opportunities, and take care of critical process-centric issues in real-time. It can be further used to enhance customer interactions with the help of robotic process automation. It presents other technical aspects and alternatives to traditional tools, algorithms, and methodologies. Various real-time case studies and implemented works will be discussed in this book for better understanding and more clarity to readers. This book presents an essential platform for the use of cognitive technology in the field of Data Science. It covers meta-heuristic methodologies that can be successful in a wide variety of problem settings in big data frameworks. Provides a unique opportunity to present the work on the state-of-the-art of meta heuristics approach in the area of big data processing developing automated and intelligent modelsExplains different feasible applications and case studies where cognitive computing can be successfully implemented in big data analytics using meta heuristics algorithmsProvides a snapshot of the latest advances in the contribution of meta heuristics frameworks in cognitive big data applications to solve optimization problems
